Staff Data Engineer

Role Overview

• Build Resilient Systems: Design flexible, difficult-to-misuse software components and data pipelines. Reduce complex designs into simple foundational components to proactively avoid scaling issues and lower maintenance costs.
• Manage Cross-Boundary Integrations: Create coherent ecosystem designs across multiple pipelines and API boundaries. Ensure reliable feature rollouts with appropriate monitoring, paging, and well-characterized failure domains.
• Improve Developer Efficiency: Continuously look for ways to simplify code and infrastructure. Implement solutions that measurably improve developer efficiency.
• Drive Large-Scale Projects: Autonomously define and deliver technical roadmaps for larger projects with cross-team dependencies. Execute against tight deadlines while preemptively identifying and resolving technical risks.
• Unblock the Team: Assess and eliminate the root causes of technical and process barriers. Own your decisions and mistakes, taking action to prevent them in the future and sharing learnings widely.
• Align Technical Output with Business Value: Partner with your manager to define team priorities based on SmithRx’s business strategy. Design clear success metrics for systems and achieve them consistently post-launch.
• Cross-Functional Collaboration: Break down silos within and across functions. Write crisp narratives to create understanding, get buy-in, and enable effective decision-making among stakeholders.
• Navigate Ambiguity: Act thoughtfully in critical situations. Balance conflicting perspectives, encourage productive debate, and commit to moving key company priorities forward even when making unpopular decisions.
• Mentor & Develop Talent: Serve as a role model and technical guide for less-experienced team members, tailoring your coaching and feedback to their specific skills and working styles.
• Champion Culture & Hiring: Actively participate in the hiring process for senior candidates and managers (interviews, debriefs, 1:1 sell chats). Foster psychological safety, encourage a growth mindset, and consistently personify SmithRx’s core values.

Requirements

• 6+ years of industrial experience in software or data engineering. (Start-up and healthcare experience is highly desirable).
• Strong skills in PySpark, SQL, and Python are required. Experience in modern object-oriented or compiled languages such as C#/C++, Go, Java, or Scala is a plus.
• Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, dbt, Looker, Superset).
• Demonstrated expertise in data warehouse technologies (e.g., Snowflake) and mastery of data modeling concepts through production-grade implementations.
• A proven track record of successfully executing complex projects with cross-team dependencies from design to post-launch monitoring.
• The ability to tailor technical messaging to various audiences, explaining how business priorities inform engineering choices.

Tech Stack

• Airflow
• Apache
• ETL
• Java
• PySpark
• Python
• Scala
• Spark
• SQL
• Go

Benefits

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
• Flexible Spending Benefits
• 401(k) Retirement Savings Program
• Short-term and long-term disability
• Discretionary Paid Time Off
• 12 Paid Company Holidays
• Wellness Benefits
• Commuter Benefits
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities